Alternatives and similar repositories for AURORA

Users that are interested in AURORA are comparing it to the libraries listed below

• tseyde / decqn
  ☆36Updated 2 years ago
• ElisevanderPol / mdp-homomorphic-networks
  ☆29Updated 4 years ago
• famura / SimuRLacra
  reinforcement learning from randomized simulations
  ☆69Updated 4 months ago
• ollebompa / QDgym
  Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.
  ☆24Updated 4 years ago
• ramp-kits / rl_simulator
  Model-based reinforcement learning (generative simulator models and planning agents)
  ☆16Updated 3 years ago
• google-deepmind / dm_construction
  ☆27Updated 4 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆33Updated 2 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 3 years ago
• Improbable-AI / curiosity_baselines
  An open source reinforcement learning codebase with a variety of intrinsic exploration methods implemented in PyTorch.
  ☆10Updated 2 years ago
• jannerm / gamma-models
  Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"
  ☆44Updated last year
• google-deepmind / pushworld
  PushWorld: A benchmark for manipulation planning with tools and movable obstacles
  ☆83Updated last year
• orybkin / video-gcp
  Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"
  ☆45Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated 2 years ago
• denisyarats / proto
  Proto-RL: Reinforcement Learning with Prototypical Representations
  ☆83Updated 3 years ago
• RajGhugare19 / alm
  Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective
  ☆80Updated 2 years ago
• MinRegret / deluca
  Performant, differentiable reinforcement learning
  ☆24Updated 2 years ago
• ikostrikov / jaxrl2
  ☆46Updated 2 years ago
• oist-cnru / Variational-Recurrent-Models
  Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…
  ☆55Updated 4 years ago
• awjuliani / successor_examples
  Tutorials on learning and using successor representations.
  ☆52Updated 5 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 5 years ago
• Kaixhin / EC
  Episodic Control
  ☆21Updated 2 years ago
• yobibyte / amorpheus
  My Body Is A Cage
  ☆41Updated 4 years ago
• ikostrikov / dmcgym
  ☆23Updated 3 years ago
• orybkin / lexa
  Discovering and Achieving Goals via World Models, NeurIPS 2021
  ☆85Updated last year
• google-research / world_models
  ☆124Updated 2 years ago
• flowersteam / teachDeepRL
  ☆87Updated 4 years ago
• danijar / embodied
  Fast reinforcement learning research
  ☆61Updated 8 months ago
• kyonofx / tia
  [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
  ☆18Updated 4 years ago
• danijar / crafter-baselines
  Docker containers of baseline agents for the Crafter environment
  ☆28Updated 3 years ago
• shikharbahl / neural-dynamic-policies
  ☆71Updated 4 years ago